WaterAdmin uses a bi-level design with LLM agents for dynamic context abstraction and optimization for real-time pump/valve control, achieving better pressure reliability and lower energy use than traditional methods in EPANET simulations of variable community water demands.
https://www.epa.gov/ dwreginfo/information-about-public-water-systems, 2024
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WaterAdmin: Orchestrating Community Water Distribution Optimization via AI Agents
WaterAdmin uses a bi-level design with LLM agents for dynamic context abstraction and optimization for real-time pump/valve control, achieving better pressure reliability and lower energy use than traditional methods in EPANET simulations of variable community water demands.